1. Introduction to the Semantic Web

2. Questions What is the Semantic Web? Why do we want it? How will we do it? Who will do it? When will it be done?

3. “XML is Lisp's bastard nephew, with uglier syntax and no semantics. Yet XML is poised to enable the creation of a Web of data that dwarfs anything since the Library at Alexandria.” -- Philip Wadler, Et tu XML? The fall of the relational empire, VLDB, Rome, September 2001.

4. “The web has made people smarter. We need to understand how to use it to make machines smarter, too.” -- Michael I. Jordan, paraphrased from a talk at AAAI, July 2002 by Michael Jordan (UC Berkeley)

5. “The Semantic Web will globalize KR, just as the WWW globalize hypertext” -- Tim Berners-Lee

6. “The multi-agent systems paradigm and the web both emerged around 1990. One has succeeded beyond imagination and the other has not yet made it out of the lab.” -- Anonymous, 2001

7. IOHO The web is like a universal acid, eating through and consuming everything it touches. -Web principles and technologies are equally good for wireless/pervasive computing The semantic web is our first serious attempt to provide semantics for XML sublanguages It will provide mechanisms for people and machines (agents, programs, web services) to come together. -In all kinds of networked environments: wired, wireless, ad hoc, wearable, etc.

8. Origins Tim Berners-Lee’s original 1989 WWW proposal described a web of relationships among named objects unifying many info. management tasks. Capsule history Guha’s MCF (~94) XML+MCF=>RDF (~96) RDF+OO=>RDFS (~99) RDFS+KR=>DAML+OIL (00) W3C’s SW activity (01) W3C’s OWL (03) http://www.w3.org/History/1989/proposal.html

9. W3C’s Semantic Web Goals Focus on machine consumption: "The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation." -- Berners-Lee, Hendler and Lassila, The Semantic Web, Scientific American, 2001

10. TBL’s semantic web vision

11. Semantic web stack 2006

12. Why is this hard? after Frank van Harmelen and Jim Hendler

13. What a web page looks like to a machine… after Frank van Harmelen and Jim Hendler

14. OK, so HTML is not helpful Maybe we can tell the machine what the different parts of the text represent? title time speaker location abstract biosketch host

15. XML to the rescue? XML fans propose creating a XML tag set to use for each application. For talks, we can choose,, etc. after Frank van Harmelen and Jim Hendler

16. XML  machine accessible meaning But, to your machine, the tags still look like this…. The tag names carry no meaning. XML DTDs and Schemas have little or no semantics. after Frank van Harmelen and Jim Hendler              

17. <xs:element name="friend-of" type="xs:string" minOccurs="0" maxOccurs="unbounded"/> XML Schema helps XML Schemas provide a simple mechanism to define shared vocabularies.                             XML Schema file after Frank van Harmelen and Jim Hendler

18. <xs:element name="friend-of" type="xs:string" minOccurs="0" maxOccurs="unbounded"/> XML Schema file 42 <xs:element name="friend-of" type="xs:string" minOccurs="0" maxOccurs="unbounded"/> XML Schema file 1 But there are many schemas               after Frank van Harmelen and Jim Hendler

19. <xs:element name="friend-of" type="xs:string" minOccurs="0" maxOccurs="unbounded"/> XML Schema file 42 <xs:element name="friend-of" type="xs:string" minOccurs="0" maxOccurs="unbounded"/> XML Schema file 1 There’s no way to relate schema               Either manually or automatically. XML Schema is weak on semantics.

20. An Ontology level is needed <xs:element name="friend-of" type="xs:string" minOccurs="0" maxOccurs="unbounded"/> XML Ontology 1 <xs:element name="friend-of" type="xs:string" minOccurs="0" maxOccurs="unbounded"/> XML Ontology 42 We need a way to define ontologies in XML So we can relate them So machines can understand (to some degree) their meaning <xs:element name="friend-of" type="xs:string" minOccurs="0" maxOccurs="unbounded"/> XML Ontology 256 imports = <> Ontologies add Structure Constraints mappings

21. Semantic web technologies allow machines to share data and knowledge using common web language and protocols. ~ 1997 Semantic Web Semantic Web beginning Use Semantic Web Technology to publish shared data & knowledge

22. 2007 Semantic Web => Linked Open Data Use Semantic Web Technology to publish shared data & knowledge Data is inter- linked to support inte- gration and fusion of knowledge LOD beginning

23. 2008 Semantic Web => Linked Open Data Use Semantic Web Technology to publish shared data & knowledge Data is inter- linked to support inte- gration and fusion of knowledge LOD growing

24. 2009 Semantic Web => Linked Open Data Use Semantic Web Technology to publish shared data & knowledge Data is inter- linked to support inte- gration and fusion of knowledge … and growing

25. Linked Open Data 2010 LOD is the new Cyc: a common source of background knowledge Use Semantic Web Technology to publish shared data & knowledge Data is inter- linked to support inte- gration and fusion of knowledge …growing faster

26. Linked Open Data 2011: 31B facts in 295 datasets interlinked by 504M assertions on ckan.netckan.net LOD is the new Cyc: a common source of background knowledge Use Semantic Web Technology to publish shared data & knowledge Data is inter- linked to support inte- gration and fusion of knowledge

27. Today and tomorrow Simple ontologies like FOAF & DC in use today -We’ve crawled more than 3M FOAF RDF files We hope to be able to make effective use ontologies like Cyc in the coming decade -There are skeptics … -It’s a great research topic … The SW community has a roadmap and some experimental languages … Industry is still holding back… -They are being conservative We need more experimentation and exploration